Safety and survival outcomes of immune checkpoint inhibitors in metastatic lung cancer patients with pre-existing autoimmune disease: A propensity-matched real-world analysis.

e20615 Background: Patients with cancer and pre-existing autoimmune diseases (AID) are frequently excluded from immune checkpoint inhibitor (ICI) trials due to concerns about severe immune-related adverse events (irAEs) and AID flares. Real-world data on safety and outcomes of immunotherapy in this population remain limited. Methods: This retrospective cohort study used the TriNetX US Collaborative Network to identify adults with lung cancer (ICD-10 C34) and metastatic disease codes (C77–C79) treated with PD-1/PD-L1 inhibitors (pembrolizumab, nivolumab, atezolizumab, durvalumab, or cemiplimab) between 2018 and 2025. Patients with prior transplant, HIV, chronic viral hepatitis, or CTLA-4 inhibitor exposure were excluded. Those with pre-existing AID diagnosed prior to ICI initiation were compared with those without AID using 1:1 propensity score matching to balance demographics and major comorbidities. The primary outcome was overall survival; secondary outcomes included hospitalization, emergency department visits, systemic steroid use and organ-specific irAE proxies. Results: After propensity score matching, 3,159 patients were included in each cohort. Overall mortality did not differ between groups (54.5% vs 52.9%; HR, 1.03; 95% CI, 0.96–1.10; p = 0.43). However, patients with pre-existing AID experienced significantly higher rates of hospitalization (63.4% vs 59.2%; RR, 1.072; p = 0.001). Organ-specific irAEs were significantly elevated in the pre-existing AID cohort, including pulmonary irAEs (28.5% vs 24.0%; RR, 1.186; p < 0.001), gastrointestinal irAEs (19.8% vs 12.1%; RR, 1.638; p < 0.001), endocrine irAEs (14.8% vs 5.1%; RR, 2.895; p < 0.001), and myositis (1.4% vs 0.7%; RR, 2.143; p = 0.003). Systemic steroid use was common and similar between groups. Emergency department visits and dermatologic irAE proxies did not differ significantly. Conclusions: In this real-world study, metastatic lung cancer patients with pre-existing AID receiving PD-1/PD-L1 inhibitors demonstrated comparable overall survival to those without AID, supporting the use of ICIs in this population. However, significantly elevated rates of organ-specific irAEs—particularly gastrointestinal, endocrine, and pulmonary toxicities—and increased hospitalizations underscore the need for enhanced monitoring and multidisciplinary management. These findings support risk-adapted use of PD-1/PD-L1 inhibitors rather than routine exclusion of patients with AID.

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Publication Details

Journal
Journal of Clinical Oncology
Published
2026-05-28
DOI
https://doi.org/10.1200/jco.2026.44.16_suppl.e20615
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
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article

Safety and survival outcomes of immune checkpoint inhibitors in metastatic lung cancer patients with pre-existing autoimmune disease: A propensity-matched real-world analysis.

Mevlüt Özmen, Fatma Betül Yılmaz, Medina Esenbekova, Salih Akgun
Journal of Clinical Oncology
Cancer Immunotherapy and Biomarkers
article

Safety and survival outcomes of immune checkpoint inhibitors in metastatic lung cancer patients with pre-existing autoimmune disease: A propensity-matched real-world analysis.

Mevlüt Özmen, Fatma Betül Yılmaz, Medina Esenbekova, Salih Akgun
article en

Abstract

e20615 Background: Patients with cancer and pre-existing autoimmune diseases (AID) are frequently excluded from immune checkpoint inhibitor (ICI) trials due to concerns about severe immune-related adverse events (irAEs) and AID flares. Real-world data on safety and outcomes of immunotherapy in this population remain limited. Methods: This retrospective cohort study used the TriNetX US Collaborative Network to identify adults with lung cancer (ICD-10 C34) and metastatic disease codes (C77–C79) treated with PD-1/PD-L1 inhibitors (pembrolizumab, nivolumab, atezolizumab, durvalumab, or cemiplimab) between 2018 and 2025. Patients with prior transplant, HIV, chronic viral hepatitis, or CTLA-4 inhibitor exposure were excluded. Those with pre-existing AID diagnosed prior to ICI initiation were compared with those without AID using 1:1 propensity score matching to balance demographics and major comorbidities. The primary outcome was overall survival; secondary outcomes included hospitalization, emergency department visits, systemic steroid use and organ-specific irAE proxies. Results: After propensity score matching, 3,159 patients were included in each cohort. Overall mortality did not differ between groups (54.5% vs 52.9%; HR, 1.03; 95% CI, 0.96–1.10; p = 0.43). However, patients with pre-existing AID experienced significantly higher rates of hospitalization (63.4% vs 59.2%; RR, 1.072; p = 0.001). Organ-specific irAEs were significantly elevated in the pre-existing AID cohort, including pulmonary irAEs (28.5% vs 24.0%; RR, 1.186; p < 0.001), gastrointestinal irAEs (19.8% vs 12.1%; RR, 1.638; p < 0.001), endocrine irAEs (14.8% vs 5.1%; RR, 2.895; p < 0.001), and myositis (1.4% vs 0.7%; RR, 2.143; p = 0.003). Systemic steroid use was common and similar between groups. Emergency department visits and dermatologic irAE proxies did not differ significantly. Conclusions: In this real-world study, metastatic lung cancer patients with pre-existing AID receiving PD-1/PD-L1 inhibitors demonstrated comparable overall survival to those without AID, supporting the use of ICIs in this population. However, significantly elevated rates of organ-specific irAEs—particularly gastrointestinal, endocrine, and pulmonary toxicities—and increased hospitalizations underscore the need for enhanced monitoring and multidisciplinary management. These findings support risk-adapted use of PD-1/PD-L1 inhibitors rather than routine exclusion of patients with AID.

Journal of Clinical OncologyVol. 44(16_suppl)
UPMC Central Pa (US), Centegra Hospital McHenry (US), John F. Kennedy Medical Center (US), University of Pennsylvania (US)
Good health and well-being
Openalex Percentile: Top 7%
Cancer Immunotherapy and Biomarkers
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